\section{Conclusion}

\begin{frame}
	\frametitle{Conclusion}
	
	\begin{columns}
		\begin{column}{6.5cm}
			\begin{itemize}
				\item Existing learning models not sufficient to learn AI-set
				\item Limitations: \emph{shallow architecture} and \emph{local estimators}
				\item Shallow architecture cause inefficient representations
				\item Local estimators don't learn non-local regularities
				\note[item]{E.g. Sinus function is highly varying and could be represented quite compactly, however not bey local estimators}
				\item Local estimators need many examples to learn highly varying function
				\item Solution: Deep architectures			
			\end{itemize}
		\end{column}
		\begin{column}{4.5cm}
			\includegraphics[width=4.5cm]{images/bulb.jpg}
		\end{column}
	\end{columns}

\end{frame}
